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---
dataset_info:
features:
- name: id
dtype: string
- name: question
dtype: string
- name: options
list: string
- name: answer
dtype: string
- name: task_plan
dtype: string
- name: video
dtype: binary
splits:
- name: random_video_3d_what_move
num_bytes: 8721672
num_examples: 300
- name: random_video_3d_where_move
num_bytes: 9374584
num_examples: 300
- name: random_video_3d_what_attribute_move
num_bytes: 8721672
num_examples: 300
- name: random_video_3d_what_rotate
num_bytes: 12685235
num_examples: 300
- name: random_video_3d_where_rotate
num_bytes: 12254138
num_examples: 300
- name: random_video_3d_what_attribute_rotate
num_bytes: 12462182
num_examples: 300
- name: random_video_sg_what_object
num_bytes: 525095218
num_examples: 300
- name: random_video_sg_what_relation
num_bytes: 534471346
num_examples: 300
- name: random_video_sg_what_action
num_bytes: 571747390
num_examples: 300
download_size: 612311506
dataset_size: 1695533437
configs:
- config_name: default
data_files:
- split: random_video_3d_what_move
path: data/random_video_3d_what_move-*
- split: random_video_3d_where_move
path: data/random_video_3d_where_move-*
- split: random_video_3d_what_attribute_move
path: data/random_video_3d_what_attribute_move-*
- split: random_video_3d_what_rotate
path: data/random_video_3d_what_rotate-*
- split: random_video_3d_where_rotate
path: data/random_video_3d_where_rotate-*
- split: random_video_3d_what_attribute_rotate
path: data/random_video_3d_what_attribute_rotate-*
- split: random_video_sg_what_object
path: data/random_video_sg_what_object-*
- split: random_video_sg_what_relation
path: data/random_video_sg_what_relation-*
- split: random_video_sg_what_action
path: data/random_video_sg_what_action-*
---
# Dataset Card for TaskMeAnything-v1-videoqa-random
<h2 align="center"> TaskMeAnything-v1-videoqa-random dataset</h2>
<h2 align="center"> <a href="https://www.task-me-anything.org/">🌐 Website</a> | <a href="https://arxiv.org/abs/2406.11775">📑 Paper</a> | <a href="https://huggingface.co/collections/jieyuz2/taskmeanything-664ebf028ab2524c0380526a">🤗 Huggingface</a> | <a href="https://huggingface.co/spaces/zixianma/TaskMeAnything-UI">💻 Interface</a></h2>
<h5 align="center"> If you like our project, please give us a star ⭐ on GitHub for latest update. </h2>
## TaskMeAnything-v1-Random
[TaskMeAnything-v1-videoqa-random](https://huggingface.co/datasets/weikaih/TaskMeAnything-v1-videoqa-random) is a dataset which randomly sampled questions from TaskMeAnything-v1, including 2,700 VideoQA questions. The dataset contains 9 splits, while each splits contains 300 questions from a specific task generator in TaskMeAnything-v1. For each row of dataset, it includes: video, question, options, answer and its corresponding task plan.
### Load TaskMeAnything-v1-Random VideoQA Dataset and Convert Video Binary Stream to mp4
* Since Huggingface does not support saving .mp4 files in datasets, we save videos in the format of binary streams. After loading, you can convert the video binary stream to .mp4 using the following method.
```
import datasets
dataset_name = 'weikaih/TaskMeAnything-v1-videoqa-random'
dataset = datasets.load_dataset(dataset_name, split = TASK_GENERATOR_SPLIT)
# example: convert binary stream in dataset to .mp4 files
video_binary = dataset[0]['video']
with open('/path/save/video.mp4', 'wb') as f:
f.write(video_binary)
```
where `TASK_GENERATOR_SPLIT` is one of the task generators, eg, `random_video_3d_what_move`.
## Evaluation Results
### Overall
### Breakdown performance on each task types
## Out-of-Scope Use
This dataset should not be used for training models.
## Disclaimers
**TaskMeAnything** and its associated resources are provided for research and educational purposes only.
The authors and contributors make no warranties regarding the accuracy or reliability of the data and software.
Users are responsible for ensuring their use complies with applicable laws and regulations.
The project is not liable for any damages or losses resulting from the use of these resources.
## Contact
- Jieyu Zhang: [email protected]
## Citation
**BibTeX:**
```bibtex
@article{zhang2024task,
title={Task Me Anything},
author={Zhang, Jieyu and Huang, Weikai and Ma, Zixian and Michel, Oscar and He, Dong and Gupta, Tanmay and Ma, Wei-Chiu and Farhadi, Ali and Kembhavi, Aniruddha and Krishna, Ranjay},
journal={arXiv preprint arXiv:2406.11775},
year={2024}
}
```
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